PCA

分析了纹理特征提取方法，特别是灰度共生矩阵的方法和 Gabo:小波矩的方法。并在这两种方法的基础上提出了综合灰度共生矩阵和 Gbaor小波矩的纹理特征提取方法并用于图像检索。 (matlab)

常见的图像处理matlab源代码，包括梯度锐化、图像镜像、图像平移、图像缩放、图像细化、图像旋转、维纳滤波处理、用Canny算子提取边缘、阈值变换、直方图均衡、中值滤波。(Matlab Source Code about Image Processing)

图像颜色特征的提取：HSV颜色直方图 描述的是图像的整体颜色情况。本程序采用非均匀量化方法得到36bin的颜色直方图。(Image Color Feature Extraction: HSV color histogram describes the situation of the image' s overall color. This procedure using non-uniform quantization method the color histogram 36bin.)

采用MATLAB语言编程实现了基于遗传算法的最大熵单阈值、最大熵双阈值、二维最大熵单阈值图像分割和基于最大类间方差遗传算法的图像分割(Through the study of threshold segmentation method and genetic algorithm theory, matlab programming language used to achieve the genetic algorithm based on maximum entropy single threshold, dual-threshold maximum entropy, maximum entropy of two-dimensional single-threshold image segmentation and otsu genetic algorithm for image segmentation.)

根据论文Curvature Scale Space Corner Detector with Adaptive Threshold and Dynamic Region of Support算法写的角点检测(err)

说明：   [Wang 1998]Spiral CT Image Deblurring for Cochlear Implantation

白平衡论文及程序和实验图片,非常好，值得下载(White papers and procedures and experimental images, very good, worth downloading)

本rar文件是图像超分辨率重构的网络模型RCAN的代码，可以成功运行(This rar file is the code of the image super-resolution reconstruction network model RCAN, which can be run successfully)

Real-time foreground–background segmentation using codebook model 了解码书进行图像处理(背景与前景)的原理，可以从该文章中获得有益的参考价值(Real-time foreground–background segmentation using codebook model A practical paper for knowing of image processing theory(about foreground-background) by codebook)

卡尔曼滤波源代码 Some brief notes ---------------- kfdemo.m is a Matlab script file to run a demonstration of the Bayesian Kalman filter. It loads file kfdemo.mat (saved as version 4 so that it will read in either v4 or v5 Matlab). The other files are called by kf.m (the Kalman filter) or included as they may be useful. Normalis.m normalises data to zero-mean, unit variance along components. I always do this before any further analysis. Steve Roberts 7-2-98 (Kalman filter source code Some brief notes kfdemo.m is a Matlab script file to run a demonstration of theBayesian Kalman filter. It loads file kfdemo.mat (saved as version 4so that it will read in either v4 or v5 Matlab). The other files are called by kf.m (the Kalman filter) or includedas they may be useful. Normalis.m normalises data to zero-mean, unit variance along components. I always do this before any furtheranalysis.Steve Roberts 7-2-98)